• DocumentCode
    2504973
  • Title

    Carrier phase integer ambiguity resolution with inequality constraints for GPS and Galileo

  • Author

    Henkel, Patrick ; Zhu, Chen

  • Author_Institution
    Inst. for Commun. & Navig., Tech. Univ. Munchen, Munich, Germany
  • fYear
    2011
  • fDate
    28-30 June 2011
  • Firstpage
    409
  • Lastpage
    412
  • Abstract
    Galileo and GPS receivers can measure the carrier phases with millimeter accuracy. However, the carrier phases are periodic which requires the resolution of an integer ambiguity for each satellite. This paper provides two new constrained integer least-squares estimators that include some a priori knowledge on the relative receiver position in spherical coordinates: a maximum a posteriori probability estimator and an inequality constrained integer ambiguity resolution. The latter one uses a polynomial barrier function. Both estimators enable a significant reduction of the integer search space, a substantial improvement in the float ambiguity estimates, and thereby, a higher probability of correct integer ambiguity resolution.
  • Keywords
    Global Positioning System; GPS receivers; Galileo receivers; carrier phase integer ambiguity resolution; constrained integer least-squares estimators; float ambiguity estimates; inequality constraints; polynomial barrier function; receiver position; satellite; Decorrelation; Estimation; Global Positioning System; Phase measurement; Receivers; Satellites; Wavelength measurement; Carrier phase based positioning; GPS and Galileo; barrier function; inequality constraints; integer ambiguity resolution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Statistical Signal Processing Workshop (SSP), 2011 IEEE
  • Conference_Location
    Nice
  • ISSN
    pending
  • Print_ISBN
    978-1-4577-0569-4
  • Type

    conf

  • DOI
    10.1109/SSP.2011.5967717
  • Filename
    5967717